Evaluation of aggregate gradation on aggregate packing in porous asphalt mixture (PAM) by 3D numerical modelling and laboratory measurements

被引:40
|
作者
Kusumawardani, Dana Mutiara [1 ]
Wong, Yiik Diew [1 ]
机构
[1] Nanyang Technol Univ, Sch Civil & Environm Engn, Singapore, Singapore
关键词
Porous asphalt mixture; Aggregate gradation; Packing structure; Discrete element method; Porosity; Coordination number; Skeleton strength; Mechanical properties; VISCOELASTIC MODEL;
D O I
10.1016/j.conbuildmat.2020.118414
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The packing conditions of unbound aggregate blends and porous asphalt mixture (PAM) are investigated via comparative studies between mechanistic laboratory measurements versus discrete element method (DEM) algorithmic simulations. Nine aggregate gradations with variations in 2.36-4.75 mm and 6.3-9.5 mm fractions were studied. For PAM, PG-76 binder which is a polymer-modified asphalt was used in the mixture, with compaction by gyratory compactor. Simulation models of unbound aggregate blends and PAMs were built in Particle Flow Code in 3 Dimensions (PFC3D) algorithm simulation. The simulation results were compared with the volumetric measurements of laboratory specimens. The results showed that the proportion of 6.3-9.5 mm fraction does not have notable influence on the aggregate packing structure, while 2.36-4.75 mm size fraction has notable influence. The 2.36-4.75 mm fraction has a tendency to either fill the voids of aggregate packing or affect re-orientation of stone-on-stone interlocking of the coarser fraction. DEM modelling provides a valuable aid to design feasible PAMs with a desired packing condition, which shall be supplemented with limited laboratory verifications. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数:9
相关论文
共 50 条
  • [21] A coarse aggregate gradation detection method based on 3D point cloud
    Yang, Ming
    Ding, Jiangang
    Li, Wei
    Tian, Aojia
    Pei, Lili
    Hao, Xueli
    CONSTRUCTION AND BUILDING MATERIALS, 2023, 377
  • [22] 3D mesoscale modelling of recycled aggregate concrete
    Ren, Qifan
    Pacheco, Joao
    de Brito, Jorge
    CONSTRUCTION AND BUILDING MATERIALS, 2024, 411
  • [23] A novel numerical algorithm for 2D and 3D modelling of recycled aggregate with different geometries
    Xu, Minyao
    Wang, Yao
    MAGAZINE OF CONCRETE RESEARCH, 2022, 75 (11) : 556 - 579
  • [24] Influence of Aggregate Types on the Long-Term Skid Resistance of Porous Asphalt Mixture Based on the Laboratory MMLS
    Lei, Jun'an
    Zheng, Nanxiang
    Zhao, Fujing
    Wang, Yuanyuan
    Xue, Jinshun
    JOURNAL OF MATERIALS IN CIVIL ENGINEERING, 2024, 36 (10)
  • [25] Effect of aggregate morphology characteristics on the voidage of aggregate loose packing based on 3D discrete element method
    Wu, Junqing
    Zhou, Xiang
    Zeng, Xiaohui
    Xie, Youjun
    Long, Guangcheng
    Dong, Rongzhen
    Umar, Hussaini Abdullahi
    Ma, Gang
    Yao, Li
    CONSTRUCTION AND BUILDING MATERIALS, 2022, 348
  • [26] Influence of gradation on extrusion-based 3D printing concrete with coarse aggregate
    Chen, Yidong
    Zhang, Yunsheng
    Zhang, Yu
    Pang, Bo
    Zhang, Wenhua
    Liu, Cheng
    Liu, Zhiyong
    Wang, Dafu
    Sun, Guowen
    CONSTRUCTION AND BUILDING MATERIALS, 2023, 403
  • [27] 3D Concrete Mesoscopic Modelling and Numerical Study on the Influence of Aggregate Morphology on Chloride Diffusion
    Zhou Y.
    Liu Q.
    Cailiao Daobao/Materials Reports, 2023, 37 (24):
  • [28] 3D Numerical Modelling of Shallow Footing Resting on Tire-Derived Aggregate Backfill
    Shaheen, Mustafa
    Ahirwar, Sunil Kumar
    TRANSPORTATION INFRASTRUCTURE GEOTECHNOLOGY, 2025, 12 (01)
  • [29] 3D Numerical Modeling Methods to Characterize Real Aggregate Shapes
    Han D.
    Li Y.
    Liu D.
    Hu C.
    Li L.
    1600, Tongji University (20): : 340 - 345
  • [30] Strength and Proportioning Design of 3D Printed Concrete (3DPC) Based on Aggregate Gradation Optimization
    Zhang, Hongping
    Duan, Shuni
    Han, Qi
    He, Qiangqiang
    Shi, Ziteng
    Liu, Lan
    Qu, Shuwei
    JOM, 2024, 76 (05) : 2117 - 2118